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<p>The efficient operation of permanent magnet synchronous motors (PMSM) has been significantly improved by modern motor control algorithms. One such innovative application is PMSM motor control using adaptive neuro-fuzzy inference systems (ANFIS) control. For PMSM drive control, this integrates the benefits of fuzzy logic with neural networks, leading to improved dynamic performance, increased efficiency, and precise motor control. The incorporation of ANFIS control in the drive system enables field-oriented control (FOC) of PMSMs. To assess the drive’s performance, we use stator voltage and torque equations under different speed and torque conditions. The performance metrics are compared between an ANFIS speed controller with hysteresis current control (HCC) and a conventional proportional-integral (PI) control integrated with HCC. This comparison illustrates the potential improvements in performance achieved by using ANFIS control over traditional PI control methods. The conventional PI gain settings are difficult to use due to PMSM’s nonlinearity, which causes unwanted overshoot. It is discovered that the created and constructed ANFIS-HCC controller solves this issue and offers consistently improved performance characteristics. The suggested innovative controller design’s improved dynamic properties and increased performance make it a viable option for new generation EVs, as demonstrated by simulation studies and experimental validation.</p>

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Enhancing PMSM Drive Performance for Electric Vehicles Through ANFIS-HCC Integration

  • 期刊论文

  • 发表日期：

    2025年8月15日

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  • Brijendra Sangar,
  • Madhusudan Singh,
  • Mini Sreejeth

摘要

The efficient operation of permanent magnet synchronous motors (PMSM) has been significantly improved by modern motor control algorithms. One such innovative application is PMSM motor control using adaptive neuro-fuzzy inference systems (ANFIS) control. For PMSM drive control, this integrates the benefits of fuzzy logic with neural networks, leading to improved dynamic performance, increased efficiency, and precise motor control. The incorporation of ANFIS control in the drive system enables field-oriented control (FOC) of PMSMs. To assess the drive’s performance, we use stator voltage and torque equations under different speed and torque conditions. The performance metrics are compared between an ANFIS speed controller with hysteresis current control (HCC) and a conventional proportional-integral (PI) control integrated with HCC. This comparison illustrates the potential improvements in performance achieved by using ANFIS control over traditional PI control methods. The conventional PI gain settings are difficult to use due to PMSM’s nonlinearity, which causes unwanted overshoot. It is discovered that the created and constructed ANFIS-HCC controller solves this issue and offers consistently improved performance characteristics. The suggested innovative controller design’s improved dynamic properties and increased performance make it a viable option for new generation EVs, as demonstrated by simulation studies and experimental validation.